supabase-rls

Row-level security (RLS) on Supabase enforces fine-grained access control by restricting data visibility at the database level. Enable RLS on your tables, then create policies using auth.uid() and USING/WITH CHECK clauses to define who can SELECT, INSERT, UPDATE, or DELETE rows. Apply the ready-made policy patterns provided to match your access requirements.

Yes. RLS policies support multi-tenant isolation through team-based and role-based access patterns. Define policies that check tenant ownership or user roles before granting access, ensuring users see only their organization's or team's data. Supabase RLS enforces these restrictions at the database layer across all client connections.

Server-side operations use the service-role bypass: call your database through the service role instead of the authenticated user role. This grants unrestricted access on the server, while RLS policies still protect client-side queries. Apply service-role queries for administrative tasks that require full-table visibility.

USING clauses filter which rows a user can read or modify (applies to SELECT, UPDATE, DELETE). WITH CHECK clauses validate rows before INSERT or UPDATE succeed. Together, they define both visibility and write permissions, ensuring users can only access and modify data they're authorized for.

Test policies by querying tables as different authenticated users and roles, confirming that each user sees only permitted rows. Validate that INSERT, UPDATE, and DELETE operations either succeed or fail as expected. Use psql or Supabase's API with different auth contexts to simulate real access patterns.

Yes. RLS policies are SQL constructs executed at the PostgreSQL layer. You need familiarity with SQL syntax, basic policy syntax, and PostgreSQL role concepts. Supabase provides ready-made policy templates you can adapt, but understanding SQL and how policies attach to tables is essential.